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Machine Learning Ai Jobs in Florida (NOW HIRING)

Sr. Machine Learning Engineer

Bradenton, FL · Remote

$111K - $146K/yr

This role possesses an in-depth subject matter expertise of design, Machine Learning, AI/Deep Learning, software development, coding, testing and application programming and assists in aligning ...

Machine Learning Engineer - Generative Al Long term contract Sunrise, FL (Hybrid-3 days onsite ... Strong python, have work experiment on LLM, gen AI, Lang chain, Lang Graph, Python API, Google ...

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Machine Learning Ai information

See Florida salary details

$19.1K

$31.8K

$65.8K

How much do machine learning ai jobs pay per year?

As of Jun 10, 2026, the average yearly pay for machine learning ai in Florida is $31,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $24,300.00 and $34,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning AI Engineer, and why are they important?

To thrive as a Machine Learning AI Engineer, you need a strong background in mathematics, statistics, programming (typically Python), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow and PyTorch, as well as cloud platforms and data processing tools, is essential, and certifications in these areas can be advantageous. Strong problem-solving, communication, and collaboration skills help you effectively translate business needs into technical solutions and work well within multidisciplinary teams. These skills ensure you can develop robust AI models that address real-world challenges and deliver meaningful business impact.

What is a Machine Learning AI specialist?

A Machine Learning AI specialist is a professional who develops algorithms and models that enable computers to learn from and make predictions or decisions based on data. They work with large datasets, train and evaluate machine learning models, and often collaborate with software engineers and data scientists to integrate AI solutions into products and services. Their work is crucial in fields like natural language processing, computer vision, and predictive analytics, helping organizations automate tasks, gain insights, and improve efficiency.

What are some common challenges faced when collaborating with cross-functional teams as a Machine Learning AI professional?

As a Machine Learning AI professional, you’ll often collaborate with data engineers, software developers, and product managers. A common challenge is bridging the gap between complex AI models and practical business requirements, ensuring your solutions are both technically sound and aligned with user needs. Effective communication is key, as you’ll need to explain technical concepts to non-technical stakeholders and adapt your models based on feedback. Building trust and fostering a collaborative environment will help ensure successful project outcomes and foster continual learning.

What is the difference between Machine Learning Ai vs Data Scientist?

AspectMachine Learning AiData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with programming and algorithmsDegree in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDeveloping algorithms, training models, deploying AI systemsAnalyzing data, creating reports, interpreting results
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

Machine Learning Ai focuses on developing and deploying AI algorithms and models, while Data Scientists analyze and interpret data to inform business decisions. Both roles often collaborate but have distinct focuses within the data and AI ecosystem.

What cities in Florida are hiring for Machine Learning Ai jobs? Cities in Florida with the most Machine Learning Ai job openings:
Infographic showing various Machine Learning Ai job openings in Florida as of June 2026, with employment types broken down into 52% Full Time, and 48% Part Time. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $31,822 per year, or $15.3 per hour.

Robotics Machine Learning Engineer

Persona AI

Pensacola, FL • On-site

Full-time

Posted 25 days ago


Job description

We're looking for a Machine Learning Engineer to drive our machine learning strategy. We are primarily interested in candidates who have developed and released products to market, but can be flexible depending on aptitude and energy.
As one of the inaugural Machine Learning Engineers at Persona, you will have an incredible opportunity to get in at the beginning to shape the design and development of Persona's humanoid robot.
Your Role:
  • Collaborate on the design and development of the Persona ML software stack and support its application in manipulation, navigation, locomotion, and perception.
  • Work with the ML team to craft and execute on a comprehensive plan for the development of machine learning models, keeping up to date with the state of the art in research and development.
  • Work with the team to develop, test, and deploy software, machine learning pipelines, and data collection pipelines.
  • Monitor and evaluate the performance of models in the real world.
  • Collaborate with Universities and other companies.
  • Collaborate in attracting, nurturing and growing the machine learning and autonomy teams.

We're Looking For:
  • Courage and grit to tackle some of the hardest problems in embodied AI.
  • Enthusiasm for working collaboratively in a high paced team environment.
  • 3+ years of experience in machine learning applied to robotics.
  • Experience with deep learning frameworks (Pytorch, JAX, TensorFlow, etc.)
  • Experience with cloud computing to develop models, store data, etc. (AWS, Azure, GCP)
  • Strong understanding of the state of the art research in robot learning (behavior cloning for manipulation, reinforcement learning for locomotion, world models, etc.).
  • Understanding of the challenges of deploying neural network models in the real world.
  • Experienced in deploying both traditional and learning based approaches for robotics.
  • Capable of writing high quality software.
  • Thrive in fast paced and ambiguous environments.
  • Strong first principles thinker.

Preferred or Bonus Qualifications:
  • An advanced degree (Masters or PhD) in computer science, robotics, machine learning, or another related field.
  • Published papers at top ML/Robotics conferences (ICML, ICRA, CoRL, RSS, NeurIPS).
  • Have deployed robots, collected large amounts of data, and trained large neural networks that work in production environments.